{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 查找matplotlib.font_manager.fontManager.ttflist 中的中文字体\n",
    "首先打印出你的font_manager的ttflist中所有注册的名字，你会得到246个注册名字，有常见的Times New Roman，也有不太常见的。\n",
    "\n",
    "我大致看了一下，有一些看着就很像中文字体啊，比如这个STFangsong 仿宋啊有木有！ Weibei SC 这个看着像北魏啥的\n",
    "\n",
    "然后直接在python文件中加一条语句就ok了：\n",
    "\n",
    "plt.rcParams['font.family']=['STFangsong']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DejaVu Sans\n",
      "DejaVu Sans\n",
      "DejaVu Sans\n",
      "DejaVu Sans\n",
      "DejaVu Sans Display\n",
      "DejaVu Sans Mono\n",
      "DejaVu Sans Mono\n",
      "DejaVu Sans Mono\n",
      "DejaVu Sans Mono\n",
      "DejaVu Serif\n",
      "DejaVu Serif\n",
      "DejaVu Serif\n",
      "DejaVu Serif\n",
      "DejaVu Serif Display\n",
      "STIXGeneral\n",
      "STIXGeneral\n",
      "STIXGeneral\n",
      "STIXGeneral\n",
      "STIXNonUnicode\n",
      "STIXNonUnicode\n",
      "STIXNonUnicode\n",
      "STIXNonUnicode\n",
      "STIXSizeFiveSym\n",
      "STIXSizeFourSym\n",
      "STIXSizeFourSym\n",
      "STIXSizeOneSym\n",
      "STIXSizeOneSym\n",
      "STIXSizeThreeSym\n",
      "STIXSizeThreeSym\n",
      "STIXSizeTwoSym\n",
      "STIXSizeTwoSym\n",
      "cmb10\n",
      "cmex10\n",
      "cmmi10\n",
      "cmr10\n",
      "cmss10\n",
      "cmsy10\n",
      "cmtt10\n"
     ]
    }
   ],
   "source": [
    "import matplotlib  \n",
    "a=sorted([f.name for f in matplotlib.font_manager.fontManager.ttflist])  \n",
    "\n",
    "for i in a:  \n",
    "    print (i) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用 pyplotz 解决中文"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: http://mirrors.aliyun.com/pypi/simple/\r\n",
      "Requirement already satisfied: pyplotz in /usr/local/lib/python3.5/dist-packages (0.24)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install pyplotz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pyplotz.pyplotz import PyplotZ\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "pltz = PyplotZ() # create an instance\n",
    "\n",
    "pltz.enable_chinese()\n",
    "pltz.plot(np.linspace(-10,10),np.sin(np.linspace(-10,10)),'b', label='sin数据',alpha=0.7)\n",
    "pltz.plot(np.linspace(-10,10),np.cos(np.linspace(-10,10)),'r', label='cos数据',alpha=0.7)\n",
    "pltz.title(\"数据图\")\n",
    "pltz.xlabel(\"横坐标\")\n",
    "pltz.ylabel(\"纵坐标\")\n",
    "plt.grid() # you can use matplotlib API and pyplotz interchangeably.\n",
    "pltz.legend() # use legend function from pltz to show Chinese properly"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
